Data Engineer (m​/f​/d

At Adsquare, our mission is driven by our core focus:

• Passion – Solving complex challenges with great people, tech, and data.
• Niche – Location Intelligence for Programmatic Advertisers.

Our core values are integral to everything we do:

• Resilience
  :
  We adapt, persevere, and grow stronger.
• No BS
  :
  We value honesty, transparency, and clear communication.
• Humble
  :
  We choose modesty over vanity and let results speak for themselves.
• Moral Compass
  :
  We do the right thing with fairness, integrity, and respect.

We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.

As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs.

• Data Pipeline Ownership
  :
  Take full accountability for the pipeline lifecycle—from raw data ingestion to transformation and external delivery—according to defined SLAs, time, and budget.
• Architect Scalable Solutions
  :
  Design and build robust data architectures required to process and transfer terabytes of data.
• Pipeline Optimization
  :
  Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling.
• Engineering Rigor
  :
  Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.
• Data Monitoring
  :
  Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.
• Collaboration & Mentorship
  :
  Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices.

We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment.

• Programming Mastery
  :
  Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles.
• Big Data & Py Spark :
  Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg.
• Advanced Optimization Skills
  :
  Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.
• Database & Storage Architecture
  :
  Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (No
  
  SQL) databases, and horizontally scalable data warehouses/lake houses (e.g., Redshift, Snowflake, Star Rocks).
• Cloud Native (AWS):
  Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).
• Infrastructure & Orchestration
  :
  Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.
• Engineering Fundamentals
  :
  Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.
• AI tools
  :
  Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code.

• Compiled Languages
  :
  Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin,…